AMD Radeon R9 M375
About GPU
The AMD Radeon R9 M375 is a mid-range mobile GPU that offers commendable performance for gaming and multimedia tasks. With a base clock speed of 1000MHz and a boost clock of 1015MHz, this GPU is capable of handling modern games at medium to high settings, as well as demanding video editing and rendering tasks.
The 2GB DDR3 memory, with a clock speed of 900MHz, provides sufficient bandwidth for most gaming scenarios and ensures smooth multitasking performance. The 640 shading units and 256KB L2 cache contribute to the overall efficiency of the GPU, allowing for fast and accurate rendering of graphics.
The theoretical performance of 1.299 TFLOPS is impressive for a mobile GPU and ensures that the Radeon R9 M375 can handle a wide range of applications without compromising on speed or visual quality. Additionally, the GPU's unknown TDP suggests that it is relatively power-efficient, making it suitable for laptops and other portable devices.
Overall, the AMD Radeon R9 M375 is a strong contender in the mid-range mobile GPU market. Its combination of clock speeds, memory size, and shading units make it a viable option for gamers and content creators who require a balance of performance and energy efficiency in their mobile devices. If you're in the market for a laptop with capable gaming and multimedia capabilities, the Radeon R9 M375 is definitely worth considering.
Basic
Label Name
AMD
Platform
Mobile
Launch Date
May 2015
Model Name
Radeon R9 M375
Generation
Gem System
Base Clock
1000MHz
Boost Clock
1015MHz
Bus Interface
PCIe 3.0 x16
Memory Specifications
Memory Size
2GB
Memory Type
DDR3
Memory Bus
?
The memory bus width refers to the number of bits of data that the video memory can transfer within a single clock cycle. The larger the bus width, the greater the amount of data that can be transmitted instantaneously, making it one of the crucial parameters of video memory. The memory bandwidth is calculated as: Memory Bandwidth = Memory Frequency x Memory Bus Width / 8. Therefore, when the memory frequencies are similar, the memory bus width will determine the size of the memory bandwidth.
128bit
Memory Clock
900MHz
Bandwidth
?
Memory bandwidth refers to the data transfer rate between the graphics chip and the video memory. It is measured in bytes per second, and the formula to calculate it is: memory bandwidth = working frequency × memory bus width / 8 bits.
28.80 GB/s
Theoretical Performance
Pixel Rate
?
Pixel fill rate refers to the number of pixels a graphics processing unit (GPU) can render per second, measured in MPixels/s (million pixels per second) or GPixels/s (billion pixels per second). It is the most commonly used metric to evaluate the pixel processing performance of a graphics card.
16.24 GPixel/s
Texture Rate
?
Texture fill rate refers to the number of texture map elements (texels) that a GPU can map to pixels in a single second.
40.60 GTexel/s
FP64 (double)
?
An important metric for measuring GPU performance is floating-point computing capability. Double-precision floating-point numbers (64-bit) are required for scientific computing that demands a wide numeric range and high accuracy, while single-precision floating-point numbers (32-bit) are used for common multimedia and graphics processing tasks. Half-precision floating-point numbers (16-bit) are used for applications like machine learning, where lower precision is acceptable.
81.20 GFLOPS
FP32 (float)
?
An important metric for measuring GPU performance is floating-point computing capability. Single-precision floating-point numbers (32-bit) are used for common multimedia and graphics processing tasks, while double-precision floating-point numbers (64-bit) are required for scientific computing that demands a wide numeric range and high accuracy. Half-precision floating-point numbers (16-bit) are used for applications like machine learning, where lower precision is acceptable.
1.325
TFLOPS
Miscellaneous
Shading Units
?
The most fundamental processing unit is the Streaming Processor (SP), where specific instructions and tasks are executed. GPUs perform parallel computing, which means multiple SPs work simultaneously to process tasks.
640
L1 Cache
16 KB (per CU)
L2 Cache
256KB
TDP
Unknown
Vulkan Version
?
Vulkan is a cross-platform graphics and compute API by Khronos Group, offering high performance and low CPU overhead. It lets developers control the GPU directly, reduces rendering overhead, and supports multi-threading and multi-core processors.
1.2.170
OpenCL Version
2.1 (1.2)
Benchmarks
FP32 (float)
Score
1.325
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS